Navigation and Find Co-location of ATSR Images

• Shin, Dong-Seok (Electronic and Electrical Engineering Department, University College London) ;
• Pollard, John-K. (Electronic and Electrical Engineering Department, University College London)
• Published : 1994.06.01

Abstract

In this paper, we propose a comprehensive geometric correction algorithm of Along Track Scanning Radiometer(ATSR) images. The procedure consists of two cascaded modules; precorrection and fine co-location. The pre-correction algorithm is based on the navigation model which was derived in mathematical forms. This model was applied for correction raw(un-geolocated) ATSR images. The non-systematic geometric errors are also introduced as the limitation of the geometric correction by this analytical method. A fast and automatic algorithm is also presented in the paper for co-locating nadir and forward views of the ATSR images by using a binary cross-correlation matching technique. It removes small non-systematic errors which cannot be corrected by the analytic method. The proposed algorithm does not require any auxiliary informations, or a priori processing and avoiding the imperfect co-registratio problem observed with multiple channels. Coastlines in images are detected by a ragion segmentation and an automatic thresholding technique. The matching procedure is carried out with binaty coastline images (nadir and forward), and it gives comparable accuracy and faster processing than a patch based matching technique. This technique automatically reduces non-systematic errors between two views to .$\pm$ 1 pixel.

References

1. UK ERS-1 Reference Manual (DC-MA-EOS-ED-0001) Vass,P.;M.Handoll
2. VeKNI Bericht zum 20 jahrigen Bestehen On the review of satellite imagery geometric correction Shin,D.
3. IEEE Transactions on Geoscience and Remote Sensing v.GE-23 no.6 A method for real-time navigation of AVHRR imagery Brush,R.J.H.
4. International Journal of Remote Sensing v.9 no.9 The Navigation of AVHRR Imagery Brush,R.J.H.
5. International Journal of Remote Sensing v.6 An image geometry model for METEOSAT Wolff,T.
6. International Journal of Remote Sensing v.8 no.4 An operational method using ARGOS orbital elements for navigation of AVHRR imagery Brunel,P.;A.Marsouin
7. International Journal of Remote Sensing v.14 Navigation of satellite measurements without ground control points Straka,J.;J.Klokocnik;H.Grabel
8. International Journal of Remote Sensing v.4 no.2 Automatic relocation of ground control points in Landsat imagery Benny,A.H.
9. International Journal of Remote Sensing v.7 no.1 Ground control pointing and geometric transformation of satellite imagery Davison,G.J.
10. International Journal of Remote Sensing v.9 Geometric correction of remotely-sensed imagery using ground control points and orthogonal polynomials Leeuw,A.J.De;L.M.M.Veugen;H.T.C.Van Stokkom
11. Photogrammetric Engineering and Remote Sensing v.58 Rectification of digital imagery Novac,K.
12. International Journal of Remote Sensing v.10 no.4-5 Pixel and sub-pixel accuracy in geometrical correction of AVHRR imagery Cracknell,A.P.;K.Paithoonwattanakij
13. International Journal of Remote Sensing v.13 Navigation of coastal AVHRR imagery O'Brien,D.M.;P.J.Turner
14. Photogrammetric Engineering and Remote Sensing v.43 Geometric Evaluation of Skylab S-192 Conical Scanner Imagery Malhotra,R.C.
15. Photogrammetric Engineering and Remote Sensing v.43 Digital Processing of Conical Scanner Data Murphery,S.W.;R.D.Depew;R.Bernstein
16. ESA Journal v.14 Navigation of ERS-1 Along-Track Scanning Radiometer (ATSR) Images O'Brien,D.M.;A.J.Prata